U2-Net: Going deeper with nested U-structure for salient object detection

•A novel ReSidual U-block (RSU) is designed to capture multi-scale deep features.•A nested U-structure, called U2-Net, that uses RSU is developed for salient object detection.•Both large (176.3 MB) and small (4.7 MB) instances of U2-Net get competitive results. In this paper, we design a simple yet...

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Veröffentlicht in:	Pattern recognition Jg. 106; S. 107404
Hauptverfasser:	Qin, Xuebin, Zhang, Zichen, Huang, Chenyang, Dehghan, Masood, Zaiane, Osmar R., Jagersand, Martin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.10.2020
Schlagworte:	Convolutional neural network Multi-scale feature extraction Nested U-structure Network architecture design Salient object detection Nested U-structure Network architecture design Salient object detection Convolutional neural network Multi-scale feature extraction
ISSN:	0031-3203, 1873-5142
Online-Zugang:	Volltext
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